SQuAD 1.1, Stanford Question Answering Dataset [1]}, is a large-scale corpus consisting of questions crowdsourced on a set of 20,000 Wikipedia articles. The dataset was designed for MR. We transformed it into a corpus for AS2 task, by applying the same procedure described by [2]}. In short, we split each input paragraph in sentences and labelled those containing the annotated answers as correct candidates, and all the others as negative candidates.
After this preprocessing, our corpus contains 87,355 questions and 448,108 question/answer pairs.
Please note that the results presented in this paper are not directly comparable to the SQuAD leaderboardhttps://rajpurkar.github.io/SQuAD-explorer/.
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